| Two view learning: SVM-2K, theory and practice J Farquhar, DR Hardoon, H Meng, J Shawe-Taylor, S Szedmak School of Electronics and Computer Science, University of Southampton …, 2005 | 350 | 2005 |
| The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges Workshop, 117-176, 2005 | 297 | 2005 |
| Significantly fast and robust fuzzy c-means clustering algorithm based on morphological reconstruction and membership filtering T Lei, X Jia, Y Zhang, L He, H Meng, AK Nandi IEEE Transactions on Fuzzy Systems 26 (5), 3027-3041, 2018 | 168 | 2018 |
| What does touch tell us about emotions in touchscreen-based gameplay? Y Gao, N Bianchi-Berthouze, H Meng ACM Transactions on Computer-Human Interaction 19 (4), 2012 | 161 | 2012 |
| Improving “bag-of-keypoints” image categorisation J Farquhar, S Szedmak, H Meng, J Shawe-Taylor Technical report, University of Southampton, 2005 | 160* | 2005 |
| Depression recognition based on dynamic facial and vocal expression features using partial least square regression H Meng, D Huang, H Wang, H Yang, M Ai-Shuraifi, Y Wang Proceedings of the 3rd ACM international workshop on Audio/visual emotion …, 2013 | 117 | 2013 |
| A human action recognition system for embedded computer vision application H Meng, N Pears, C Bailey 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2007 | 117 | 2007 |
| The automatic detection of chronic pain-related expression: requirements, challenges and the multimodal EmoPain dataset MSH Aung, S Kaltwang, B Romera-Paredes, B Martinez, A Singh, M Cella, ... IEEE Transactions on Affective Computing 7 (4), 435-451, 2016 | 109 | 2016 |
| Naturalistic affective expression classification by a multi-stage approach based on hidden markov models H Meng, N Bianchi-Berthouze Affective computing and intelligent interaction, 378-387, 2011 | 80 | 2011 |
| Time-delay neural network for continuous emotional dimension prediction from facial expression sequences H Meng, N Bianchi-Berthouze, Y Deng, J Cheng, JP Cosmas IEEE Transactions on Cybernetics 46 (4), 916-929, 2016 | 76 | 2016 |
| Affective state level recognition in naturalistic facial and vocal expressions H Meng, N Bianchi-Berthouze IEEE Transactions on Cybernetics 44 (3), 315-328, 2014 | 73 | 2014 |
| A VLSI architecture of JPEG2000 encoder L Liu, N Chen, H Meng, L Zhang, Z Wang, H Chen IEEE Journal of Solid-State Circuits, 2004 | 58 | 2004 |
| Superpixel-based Fast Fuzzy C-Means Clustering for Color Image Segmentation T Lei, X Jia, Y Zhang, S Liu, H Meng, AK Nandi IEEE Transactions on Fuzzy Systems, 2018 | 53 | 2018 |
| Automatic depression scale prediction using facial expression dynamics and regression A Jan, H Meng, YFA Gaus, F Zhang, S Turabzadeh Proceedings of the 4th International Workshop on Audio/Visual Emotion …, 2014 | 50 | 2014 |
| Artificial intelligent system for automatic depression level analysis through visual and vocal expressions A Jan, H Meng, Y Gaus, F Zhang IEEE Transactions on Cognitive and Developmental Systems, 2017 | 49 | 2017 |
| Emotion recognition by two view SVM_2K classifier on dynamic facial expression features H Meng, B Romera-Paredes, N Bianchi-Berthouze Face and Gesture 2011, 854-859, 2011 | 48 | 2011 |
| Fast spatial combinative lifting algorithm of wavelet transform using the 9/7 filter for image block compression H Meng, Z Wang Electronics Letters 36 (21), 1766-1767, 2000 | 45 | 2000 |
| Emotion detection from EEG recordings J Liu, H Meng, A Nandi, M Li 2016 12th International Conference on Natural Computation, Fuzzy Systems and …, 2016 | 42 | 2016 |
| Accelerated hardware video object segmentation: From foreground detection to connected components labelling K Appiah, A Hunter, P Dickinson, H Meng Computer vision and image understanding 114 (11), 1282-1291, 2010 | 42 | 2010 |
| Descriptive temporal template features for visual motion recognition H Meng, N Pears Pattern Recognition Letters 30 (12), 1049-1058, 2009 | 42 | 2009 |
Nadia Bianchi-BerthouzeProfessor Affective Computing and Interaction, University College London確認したメール アドレス: ucl.ac.uk
